Shing-Tung Yau and Steve Nadis, The Shape of Inner Space — This book was about the Calabi conjecture, Calabi-Yau manifolds, string theory, and all that jazz. It’s supposed to be for a general/lay audience, but I found it rather daunting and often confusing. Perhaps I know just enough math to get confused, whereas other readers might gloss over things. I definitely would not recommend it to those without some serious mathematical background (like a few college classes). That being said, I found it pretty interesting, and now I know (kind of) what a Calabi-Yau space is.
Donald G. Saari, Decisions and Elections : Explaining the Unexpected — This sums up a large chunk of the analysis of social choice problems and voting systems done by Donald Saari. It’s a bit overwritten for my taste and veers between some mathematical formalism and a chatty form of argumentation. I don’t think I fit in the right “audience” for this book, which is part of the problem. It discusses Arrow’s Theorem and Sen’s Theorem via a bunch of examples and spends a fair bit of time on the “paradoxes” and perversities of different choice systems. The chattiness makes it feel less than systematic. Towards the end Saari puts on more of an advocate hat and argues that symmetry (in a particular sense) is a desirable property of election systems and puts out a case for the Borda count. That in a sense is the least convincing part of the book. This might be a good present for a precocious high school student, since the math is not so complicated but there are a lot of ideas to chew on in there.
Hannu Nurmi, Voting Procedures under Uncertainty — This also fits into the “slightly math-y books for political scientists” genre, so I found it insufficiently math-y. It’s a survey of different models of uncertainty in voting procedures and a survey of the work in that area. As such, it discusses alternatives to “traditional” social choice theory including Euclidean models of preference and so on. There’s a little more “survey” and less “integrating the different perspectives” but that’s ok. I am not sure who should read it, but it did point out some new literatures of which I had previously been unaware.
Moez Draif and Laurent Massoulié, Epidemics and Rumors in Complex Networks — A nice and compact introduction to rumor-spreading processes, including branching processes, small world graphs, SIS/SIR type models, and concluding with some models for “viral marketing.” I really liked this book because it was concise and to the point, but others may find that it lacks some context and connections to literature with which they are familiar. It doesn’t feel like a tutorial in that respect, but it’s self-contained and great for someone who has seen some of the material before but not all of it.
John Mortimer, Rumpole and the Primrose Path — Reading Rumpole short stories is kind of like relaxing in a pair of old slippers. Enjoyable, but probably not his best work.